activity
20162020
most citedDark sector interaction: a remedy of the tensions between CMB and LSS data

162 citations · 476 across the 7 of their papers we have counts for

collaborators

7 papers

astro-ph.CO2020★ 99 cited

Cosmological parameter analyses using transversal BAO data

Rafael C. Nunes, Santosh K. Yadav, J. F. Jesus +1

We investigate observational constraints on cosmological parameters combining 15 measurements of the transversal BAO scale (obtained free of any fiducial cosmology) with Planck-CMB…

astro-ph.CO2019★ 10 cited

Constraints on Dark Matter-Photon Coupling in the Presence of Time-Varying Dark Energy

Santosh Kumar Yadav

In a recent work [Phys. Rev. D 98, 043521 (2018)], we have investigated a dark matter (DM)-photon coupling model in which the DM decays into photons in the presence of dark energy…

astro-ph.CO2019★ 162 cited

Dark sector interaction: a remedy of the tensions between CMB and LSS data

Suresh Kumar, Rafael C. Nunes, Santosh Kumar Yadav

The well-known tensions on the cosmological parameters and within the CDM cosmology shown by the Planck-CMB and LSS data are possibly due to the systematics in the d…

astro-ph.CO2019★ 25 cited

Testing the warmness of dark matter

Suresh Kumar, Rafael C. Nunes, Santosh Kumar Yadav

Dark matter (DM) as a pressureless perfect fluid provides a good fit of the standard CDM model to the astrophysical and cosmological data. In this paper, we investigate two exte…

astro-ph.CO2018★ 54 cited

Cosmological bounds on dark matter-photon coupling

Suresh Kumar, Rafael C. Nunes, Santosh Kumar Yadav

We investigate an extension of the CDM model where the dark matter (DM) is coupled to photons, inducing a nonconservation of the numbers of particles for both species, where the…

stat.ME2017★ 1 cited

A Fast Data Driven Shrinkage of Singular Values for Arbitrary Rank Signal Matrix Denoising

Santosh Kumar Yadav, Rohit Sinha, Prabin Kumar Bora

Recovering a low-rank signal matrix from its noisy observation, commonly known as matrix denoising, is a fundamental inverse problem in statistical signal processing. Matrix denois…

stat.AP2016★ 125 cited

Electrocardiogram signal denoising using non-local wavelet transform domain filtering

Santosh Kumar Yadav, Rohit Sinha, Prabin Kumar Bora

ECG signals are usually corrupted by baseline wander, power-line interference, muscle noise, etc. and numerous methods have been proposed to remove these noises. However, in case o…